1126 search results - page 8 / 226 » Strong Feature Sets from Small Samples |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
PAKDD
2004
ACM
14 years 29 days ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we present a new method for the 3D reconstruction of highly deforming surfaces (for instance a flag waving in the wind) viewed by a single orthographic came...
TAL
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...